VCORE: Variance-Controlled Optimization-based Reweighting for Chain-of-Thought Supervision
arXiv:2510.27462v1 Announce Type: cross Abstract: Supervised fine-tuning (SFT) on long chain-of-thought (CoT) trajectories has emerged as a crucial technique for…
CoMViT: An Efficient Vision Backbone for Supervised Classification in Medical Imaging
arXiv:2510.27442v1 Announce Type: cross Abstract: Vision Transformers (ViTs) have demonstrated strong potential in medical imaging; however, their high computational demands…
On the limitation of evaluating machine unlearning using only a single training seed
arXiv:2510.26714v2 Announce Type: replace-cross Abstract: Machine unlearning (MU) aims to remove the influence of certain data points from a trained…
Towards Piece-by-Piece Explanations for Chess Positions with SHAP
arXiv:2510.25775v1 Announce Type: new Abstract: Contemporary chess engines offer precise yet opaque evaluations, typically expressed as centipawn scores. While effective…
Completion $neq$ Collaboration: Scaling Collaborative Effort with Agents
arXiv:2510.25744v2 Announce Type: replace-cross Abstract: Current evaluations of agents remain centered around one-shot task completion, failing to account for the…
SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning
arXiv:2510.26457v1 Announce Type: cross Abstract: Identifying and addressing security issues during the early phase of the development lifecycle is critical…
Robust Graph Condensation via Classification Complexity Mitigation
arXiv:2510.26451v1 Announce Type: cross Abstract: Graph condensation (GC) has gained significant attention for its ability to synthesize smaller yet informative…
A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks
arXiv:2510.25366v2 Announce Type: replace-cross Abstract: The key task of machine learning is to minimize the loss function that measures the…